ML observability baseline (alongside first model) #58

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opened 2026-04-13 14:35:37 +00:00 by alvis · 1 comment
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Minimum viable ML telemetry from the first deployed model: per-model-version scoring latency (p50/p95/p99), feature null-rate per feature, prediction distribution, policy-disagreement rate for shadowed policies. Goes into the same Grafana/Metabase as app metrics.

Minimum viable ML telemetry from the first deployed model: per-model-version scoring latency (p50/p95/p99), feature null-rate per feature, prediction distribution, policy-disagreement rate for shadowed policies. Goes into the same Grafana/Metabase as app metrics.
alvis added this to the M1 — Real signal milestone 2026-04-13 14:35:37 +00:00
alvis added the platformml labels 2026-04-13 14:35:37 +00:00
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Closed: ML observability shipped as part of M1 admin console — experiment dashboard, reward analytics, feature browser, health rollup, tip explainability log.

Closed: ML observability shipped as part of M1 admin console — experiment dashboard, reward analytics, feature browser, health rollup, tip explainability log.
alvis closed this issue 2026-04-16 15:23:03 +00:00
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Reference: alvis/oO#58